Micro Computer (HK) Tech Limited MS-A2
Geekbench AI Score
2829
Single Precision Score
2803
Half Precision Score
2442
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | mcml |
| Upload Date | September 29 2025 09:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro Computer (HK) Tech Limited MS-A2 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1WSA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 123.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
99% |
1907
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3339
54.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1657
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3718
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3772
4.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
6177
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
100% |
2184
173.2 IPS |
|
|
Object Detection (Q)
|
85% |
2139
172.2 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
3616
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2943
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3022
23.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2975
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3958
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3916
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
8405
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2123
78.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2580
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
981
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
58% |
791
18.6 IPS |
